Storm impacts on phytoplankton community dynamics in lakes

Global Change Biology, Год журнала: 2020, Номер 26(5), С. 2756 - 2784

Опубликована: Март 5, 2020

Abstract In many regions across the globe, extreme weather events such as storms have increased in frequency, intensity, and duration due to climate change. Ecological theory predicts that should large impacts on ecosystem structure function. High winds precipitation associated with can affect lakes via short‐term runoff from watersheds physical mixing of water column. addition, connected rivers streams will also experience flushing high flow rates. Although we a well‐developed understanding how wind alter lake processes some aspects biogeochemical cycling, our mechanistic emergent responses phytoplankton communities is poor. Here provide comprehensive synthesis identifies interact watershed attributes their antecedent conditions generate changes chemical environments. Such restructure dynamics, well result altered ecological function (e.g., carbon, nutrient energy cycling) short‐ long‐term. We summarize current storm‐induced identify knowledge gaps systematic review literature, suggest future research directions gradient types environmental conditions.

Язык: Английский

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A General Lake Model (GLM 3.0) for linking with high-frequency sensor data from the Global Lake Ecological Observatory Network (GLEON)

Geoscientific model development, Год журнала: 2019, Номер 12(1), С. 473 - 523

Опубликована: Янв. 29, 2019

Abstract. The General Lake Model (GLM) is a one-dimensional open-source code designed to simulate the hydrodynamics of lakes, reservoirs, and wetlands. GLM was developed support science needs Global Ecological Observatory Network (GLEON), network researchers using sensors understand lake functioning address questions about how lakes around world respond climate land use change. scale diversity types, locations, sizes, expanding observational datasets created need for robust community model dynamics with sufficient flexibility accommodate range scientific management relevant GLEON community. This paper summarizes basis numerical implementation algorithms, including details sub-models that surface heat exchange ice cover dynamics, vertical mixing, inflow–outflow dynamics. We demonstrate suitability different types vary substantially in their morphology, hydrology, climatic conditions. supports dynamic coupling biogeochemical ecological modelling libraries integrated simulations water quality ecosystem health, options integration other environmental models are outlined. Finally, we discuss utilities analysis outputs uncertainty assessments, operation within distributed cloud-computing environment, as tool learning participants.

Язык: Английский

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How to make ecological models useful for environmental management

Ecological Modelling, Год журнала: 2019, Номер 411, С. 108784 - 108784

Опубликована: Сен. 3, 2019

Understanding and predicting the ecological consequences of different management alternatives is becoming increasingly important to support environmental decisions. Ecological models could contribute such predictions, but in past this was often not case. are developed within research projects rarely used for practical applications. In synthesis paper, we discuss how strengthen role modeling supporting decisions with a focus on methodological aspects. We address mainly modellers also potential users results. Various approaches can be predict response ecosystems anthropogenic interventions, including mechanistic models, statistical machine learning approaches. Regardless chosen approach, outline better align decision making process, identify six requirements that believe increase usefulness support, especially if need justified public. These cover: (i) understanding regarding causality, (ii) alignment model input output decision, (iii) appropriate spatial temporal resolutions, (iv) uncertainty quantification, (v) sufficient predictive performance, (vi) transparent communication. challenges synthesize suggestions addressing these points.

Язык: Английский

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A framework for ensemble modelling of climate change impacts on lakes worldwide: the ISIMIP Lake Sector

Geoscientific model development, Год журнала: 2022, Номер 15(11), С. 4597 - 4623

Опубликована: Июнь 16, 2022

Abstract. Empirical evidence demonstrates that lakes and reservoirs are warming across the globe. Consequently, there is an increased need to project future changes in lake thermal structure resulting biogeochemistry order plan for likely impacts. Previous studies of impacts climate change on have often relied a single model forced with limited scenario-driven projections relatively small number lakes. As result, our understanding effects fragmentary, based scattered using different data sources modelling protocols, mainly focused individual or regions. This has precluded identification main at global regional scales contributed lack water quality considerations policy-relevant documents, such as Assessment Reports Intergovernmental Panel Climate Change (IPCC). Here, we describe simulation protocol developed by Lake Sector Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) simulating ensemble models scenarios ISIMIP phases 2 3. The prescribes simulations driven forcing from gridded observations Earth system under various representative greenhouse gas concentration pathways (RCPs), all consistently bias-corrected 0.5∘ × grid. In phase 2, 11 were these 62 well-studied where available calibration historical conditions, uncalibrated 17 500 defined grid cells containing 3, this approach was expanded consider more lakes, models, processes. largest international effort temperature, structure, ice phenology local paves way

Язык: Английский

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A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network

Environmental Modelling & Software, Год журнала: 2018, Номер 102, С. 274 - 291

Опубликована: Фев. 14, 2018

Язык: Английский

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Spatial identification of critical nutrient loads of large shallow lakes: Implications for Lake Taihu (China)

Water Research, Год журнала: 2017, Номер 119, С. 276 - 287

Опубликована: Апрель 19, 2017

Ongoing eutrophication frequently causes toxic phytoplankton blooms. This induces huge worldwide challenges for drinking water quality, food security and public health. Of crucial importance in avoiding reducing blooms is to determine the maximum nutrient load ecosystems can absorb, while remaining a good ecological state. These so called critical loads lakes depend on shape of load-response curve. Due spatial variation within lakes, curves therefore could vary throughout lake. In this study we patterns Lake Taihu (China) with novel modelling approach Spatial Ecosystem Bifurcation Analysis (SEBA). SEBA evaluates impact lake's total external local lake dynamics, resulting map different locations Our analysis shows that largest part follows nonlinear curve without hysteresis. The corresponding management goals, i.e. allowable chlorophyll concentration. According our model, need be more than halved reach chlorophyll-a concentrations 30–40 μg L−1 most sections To prevent 20 Taihu, both phosphorus nitrogen nearly 90% reduction. We conclude great value such as likely spatially heterogeneous general.

Язык: Английский

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Towards a global model for wetlands ecosystem services

Current Opinion in Environmental Sustainability, Год журнала: 2018, Номер 36, С. 11 - 19

Опубликована: Окт. 13, 2018

Язык: Английский

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A system of metrics for the assessment and improvement of aquatic ecosystem models

Environmental Modelling & Software, Год журнала: 2020, Номер 128, С. 104697 - 104697

Опубликована: Март 13, 2020

In this paper, we introduce the CSPS framework for hierarchical assessment of aquatic ecosystem models built on a range metrics and characteristic signatures relevant to condition. The is comprised four levels: 0) conceptual validation; 1) comparison simulated state variables with observations ('state validation'); 2) fluxes measured process rates ('process 3) system-level emergent properties, patterns relationships ('system validation'). Of these, only levels 0 1 are routinely undertaken at present. To highlight diverse contexts modelling community, present several case studies improved validation approaches using level 0–3 hierarchy. We envision that community–driven adoption these will lead more rigorously assessed models, ultimately accelerating advances in model structure function, confidence predictions.

Язык: Английский

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Farm ponds in southern China: Challenges and solutions for conserving a neglected wetland ecosystem

The Science of The Total Environment, Год журнала: 2018, Номер 659, С. 1322 - 1334

Опубликована: Дек. 30, 2018

Язык: Английский

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Modeling the effects of climatic and land use changes on phytoplankton and water quality of the largest Turkish freshwater lake: Lake Beyşehir

The Science of The Total Environment, Год журнала: 2017, Номер 621, С. 802 - 816

Опубликована: Дек. 18, 2017

Язык: Английский

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